AI safety of film capacitors

With a large number of film capacitors being deployed in critical locations in electrical and electronic systems, artificial intelligence (AI) technology is also expected to address the problems encountered in this process. According to our findings, AI applications can cover the entire lifecycle of film capacitors. However, the AI safety hazards in these applications have not received the attention they deserve. To meet this, the authors argue, with specific examples, risks that flawed, erratic, and unethical AI can introduce in the design, operation, and evaluation of film capacitors. Human‐AI common impact and more multi‐dimensional evaluation for AI are proposed to better cope with unknown, ambiguity, and known risks brought from AI in film capacitors now and in the future. i) Unlike before, with film capacitors as a specific target, we raise concerns about the possible safety risks posed by AI. The breadth of application of AI in film capacitors is shown by review and summary, and this is also the range of potential threats. ii) Using the classic neural network and advanced natural language processing (NLP) model, through example analysis, the impact of AI with safety risks on the design, operation, and evaluation of film capacitors was described in detail. iii) We argue that there are more different types of risks that need to be addressed. A collaborative model of film capacitor experts and AI and more multi‐dimensional evaluation for AI were proposed to help people prepare for possible disasters in advance.